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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/4983

Title: Accelerating XML structural join by partitioning
Authors: Tang, N
Yu, JX
Wong, KF
Lü, K
Li, J
Publication Date: 2005
Publisher: Springer-Verlag
Citation: Lecture Notes in Computer Science 3588: 280-289, 2005
Abstract: Structural join is the core part of XML queries and has a significant impact on the performance of XML queries, several classical structural join algorithms have been proposed such as Stack-tree join and XR-Tree join. In this paper, we consider to answer the problem of structural join by partitioning. We first extend the relationships between nodes to the relationships between partitions in the plane and get some observations. We then propose a new partition-based method P-Join for structural join. Based on P-Join, moreover, we present an enhanced partitioned-based spatial structural join algorithm PSSJ.
Description: This is an open access article that can be obtained from the link below - Copyright @ 2005 Springer Verlag
URI: http://www.springerlink.com/content/e3h07exgwfhxhpvv/
http://bura.brunel.ac.uk/handle/2438/4983
DOI: http://dx.doi.org/10.1007/11546924_28
ISSN: 0302-9743
Appears in Collections:Business and Management
Brunel Business School Research Papers

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